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Yao Fu
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Complexity-based prompting for multi-step reasoning
Y Fu, H Peng, A Sabharwal, P Clark, T Khot
The Eleventh International Conference on Learning Representations, 2022
1902022
Decomposed prompting: A modular approach for solving complex tasks
T Khot, H Trivedi, M Finlayson, Y Fu, K Richardson, P Clark, A Sabharwal
arXiv preprint arXiv:2210.02406, 2022
1842022
C-eval: A multi-level multi-discipline chinese evaluation suite for foundation models
Y Huang, Y Bai, Z Zhu, J Zhang, J Zhang, T Su, J Liu, C Lv, Y Zhang, Y Fu, ...
Advances in Neural Information Processing Systems 36, 2024
168*2024
Specializing smaller language models towards multi-step reasoning
Y Fu, H Peng, L Ou, A Sabharwal, T Khot
International Conference on Machine Learning, 10421-10430, 2023
962023
Paraphrase generation with latent bag of words
Y Fu, Y Feng, JP Cunningham
Advances in Neural Information Processing Systems 32, 2019
872019
Mammoth: Building math generalist models through hybrid instruction tuning
X Yue, X Qu, G Zhang, Y Fu, W Huang, H Sun, Y Su, W Chen
arXiv preprint arXiv:2309.05653, 2023
832023
Improving language model negotiation with self-play and in-context learning from ai feedback
Y Fu, H Peng, T Khot, M Lapata
arXiv preprint arXiv:2305.10142, 2023
712023
Scheduling and routing models for food rescue and delivery operations
DJ Nair, H Grzybowska, Y Fu, VV Dixit
Socio-Economic Planning Sciences 63, 18-32, 2018
572018
Noisy-labeled NER with confidence estimation
K Liu, Y Fu, C Tan, M Chen, N Zhang, S Huang, S Gao
arXiv preprint arXiv:2104.04318, 2021
552021
Prototypical representation learning for relation extraction
N Ding, X Wang, Y Fu, G Xu, R Wang, P Xie, Y Shen, F Huang, HT Zheng, ...
arXiv preprint arXiv:2103.11647, 2021
482021
Nested named entity recognition with partially-observed treecrfs
Y Fu, C Tan, M Chen, S Huang, F Huang
Proceedings of the AAAI Conference on Artificial Intelligence 35 (14), 12839 …, 2021
372021
Probing BERT in hyperbolic spaces
B Chen, Y Fu, G Xu, P Xie, C Tan, M Chen, L Jing
arXiv preprint arXiv:2104.03869, 2021
362021
Natural answer generation with heterogeneous memory
Y Fu, Y Feng
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
362018
How does GPT Obtain its Ability? Tracing Emergent Abilities of Language Models to their Sources
Y Fu, H Peng, T Khot
https://yaofu.notion.site/How-does-GPT-Obtain-its-Ability-Tracing-Emergent …, 2022
322022
Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance
Y Fu, L Ou, M Chen, Y Wan, H Peng, T Khot
arXiv preprint arXiv:2305.17306, 2023
30*2023
To repeat or not to repeat: Insights from scaling llm under token-crisis
F Xue, Y Fu, W Zhou, Z Zheng, Y You
Advances in Neural Information Processing Systems 36, 2024
232024
Data-to-text generation with variational sequential planning
R Puduppully, Y Fu, M Lapata
Transactions of the Association for Computational Linguistics 10, 697-715, 2022
212022
Rethinking text attribute transfer: A lexical analysis
Y Fu, H Zhou, J Chen, L Li
arXiv preprint arXiv:1909.12335, 2019
182019
Latent template induction with Gumbel-CRFS
Y Fu, C Tan, B Bi, M Chen, Y Feng, A Rush
Advances in Neural Information Processing Systems 33, 20259-20271, 2020
162020
Openmoe: An early effort on open mixture-of-experts language models
F Xue, Z Zheng, Y Fu, J Ni, Z Zheng, W Zhou, Y You
arXiv preprint arXiv:2402.01739, 2024
92024
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